Papers
5
Total Citations
26
H-Index
3
About
J-Anne Yow is a rising leader in human-robot interaction (HRI), specializing in shared autonomy, assistive robotics, and safe physical human-robot collaboration. Her research focuses on enabling robots to understand and adapt to human intent, particularly in high-stakes caregiving scenarios like robot-assisted feeding. Yow’s most-cited work, “Shared Autonomy of a Robotic Manipulator for Grasping Under Human Intent Uncertainty Using POMDPs” (2023, 12 citations), tackles the critical challenge of predicting user intent from ambiguous joystick inputs, developing probabilistic models that reduce user-robot conflicts during grasping tasks. She further advances intuitive interaction through the ExTraCT framework (2024, 6 citations), which uses natural language corrections to modify robot trajectories without extensive retraining, making robot behavior more explainable and adaptable. Her recent contributions to safe bite transfer (2025, 3 citations) and a breakaway utensil attachment (2025, 3 citations) demonstrate a commitment to mechanical and software-based safety in close-contact feeding tasks, modeling soft-body dynamics in MuJoCo simulators. With a growing portfolio that bridges theory and practical safety, Yow’s work is shaping the future of assistive robotics, ensuring that robots can collaborate with humans safely, intuitively, and transparently.
Research Focus
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